Integrated Usage of System Dynamic Models and Agent-based Modeling for Taking Management Decisions when Introducing Innovative Technology
https://doi.org/10.55648/1998-6920-2023-17-2-22-36
Abstract
The paper proposes a new methodological approach aimed at developing simulation models of system dynamics and agent-based modeling in case an enterprise introduces an innovative patented technology in new markets. This task requires development of new business models, strategies, and communication processes. The operating models for solving these problems are implemented in the AnyLogic simulation system
About the Author
D. A. KlavsutsRussian Federation
Dmitry A. Klavsuts, Graduate student, Department of Theoretical and Applied Computer Science
20, Karla Marksa ave., Novosibrsk, 630073
phone: +7 383 3460 600
References
1. Klavsuts D. A., Klavsuts I. L., Rusin G. L. Aspects of Evaluating the Efficiency of Introducing Innovative Method and Technology Demand Side Management in Smart Grid System. 48 th International Universities’ Power Engineering Conference – UPEC 2013, hosted by Dublin Institute of Technology, Ireland, Section- Smart Grids, 2-5September,2013.
2. Klavsuts I. L., Klavsuts D. A., Rusin G. L., Mezhov I. S. Perfecting business processes in electricity grids by the use of innovative technology of demand side management in the framework of the general conception of smart grids. 49 International Universities power engineering conference (UPEC), Romania, Cluj-Napoca, 2-5 September, 2014, p. 4.
3. Klavsuts D. A., Klavsuts I. L., Avdeenko T. V. Providing the quality of electric power by means of regulating customers' voltage. 49 International Universities power engineering conference (UPEC), Romania, Cluj-Napoca, 2-5 September, 2014, p. 4.
4. Klavsuts I. L., Rusin G. L., Klavsuts D. A. Upravlenie vnedreniem innovatsionnoi energosberegayushchei tekhnologii v staropro-myshlennykh regionakh SNG i v Severo-Vostochnykh Aziatskikh regionakh: opyt i perspek-tivy [Management of the introduction of innovative energy-saving technology in the old industrial regions of the CIS and in the North-East Asian regions: experience and prospects]. Modernization of the Russian economy: prospects, paradigms, solutions” - Collection of scientific articles, Novosibirsk, 2014, pp. 40-47.
5. Klavsuts I. L., Klavsuts D. A., Rusina A. G., Rusin G. L. Modes control of Smart Power Grids based on the usage of the innovative method and device of Demand Side Management. 50 International universities power engineering conference (UPEC 2015), United Kingdom, Stoke-on-Trent, 1-4 September, 2015, p. 6. DOI: 10.1109/UPEC.2015.7339779.
6. Klavsuts I. L., Rusin G. L., Khairullina M. V. Strategic models of introducing innovative technology for management of electric power consumption into world markets. Actual problems of electronic instrument engineering (APEIE–2016), 13 intl. sci.-tech. Conf., Novosibirsk, 3-6 October, 2016, Novosibirsk, Publishing house of NSTU, vol 11, pp. 94–101.
7. Klavsuts I. L., Rusina A. G., Klavsuts D. A. The development of simulation model of innovative technology of AC voltage normalization for introduction into smart grid system. 51 International Universities power engineering conference (UPEC), Portugal, Coimbra, 6-9 September, 2016, p. 6.
8. Fishov A. G., Klavsuts I. L., Karjaubayev N. A., Klavsuts D. A. Decentralized smart multi-agent voltage regulation in electric grids. Ideology and modeling. Proceeding 53 international universities power engineering conference (UPEC2018), United Kingdom, Glasgow, 4-7 September, 2018, p. 6. DOI: 10.1109/UPEC.2018.8542109.
9. Bass, Frank M. A new product growth for model consumer durables. Management Science, vol. 15, no. 5, January, 1969. pp. 215-227.
10. Forrester Dzh. Osnovy kibernetiki predpriyatiya (industrial'naya dinamika) [Fundamentals of enterprise cybernetics (industrial dynamics)]. Ed. Gvishiani D.M., Progress, 1969. 340 p.
11. Brailsford S., Churilov L. and Dangerfield B. (EDS) Front Matter. Discrete-Event Simulation and System Dynamics for Management Decision Making, John Wiley & Sons Ltd, Chichester, UK, 2014. DOI: 10.1002/9781118762745.
12. Jones L. Vensim and the development of system dynamics. Discrete-Event Simulation and System Dynamics for Management Decision Making. Eds. S. Brailsford, L. Churilov and B. Dangerfield. John Wiley & Sons Ltd, Chichester, UK, 2014. doi: 10.1002/9781118762745.
13. AnyLogic. Mnogopodkhodnoe imitatsionnoe modelirovanie [AnyLogic.Multi-approach simulation], available at: http://www.anylogic.com, (accessed 21.11.2022).
14. Borshchev, A. Multi-method modelling: AnyLogic.Discrete-Event Simulation and System Dynamics for Management Decision Making. Eds. S. Brailsford, L. Churilov and B. Danger-field. John Wiley & Sons Ltd, Chichester, UK, 2014. doi: 10.1002/9781118762745.
15. Iza Romanowska, Colin D. Wren, Stefani A. Crabtree Agent-Based Modeling for Archaeology: Simulating the Complexity of Societies. SFI PRSS, 2021. 442 p.
16. Steven F. Railsback, Volker Grimm Agent-Based and Individual-Based Modeling: A Practical Introduction. Princeton University Press, 2019. 360 p.
17. Andrew Crooks, Nick Malleson, Ed Manley, Alison Heppenstall Agent-Based Modelling and Geographical Information Systems: A Practical Primer (Spatial Analytics and GIS), SAGE Publications Ltd, 2019. 408 p.
Review
For citations:
Klavsuts D.A. Integrated Usage of System Dynamic Models and Agent-based Modeling for Taking Management Decisions when Introducing Innovative Technology. The Herald of the Siberian State University of Telecommunications and Information Science. 2023;17(2):22-36. (In Russ.) https://doi.org/10.55648/1998-6920-2023-17-2-22-36